Artificial intelligence facing the challenge of phishing

Lïa Desmousseaux de Givré

Lïa Desmousseaux de Givré


Artificial Intelligence (AI) is a promising tool in the fight against phishing, as it can quickly analyze massive amounts of data and detect suspicious user behavior. However, AI has its limitations in combating this cybersecurity threat.

Understanding phishing is essential to understanding how AI can help in the fight against it. Phishing is a cyber-attack technique that is carried out through email, SMS, or social media messages, tricking the user into believing it is sent by a legitimate company. The goal is to deceive the victim into providing confidential information such as credit card numbers or usernames and passwords.

AI can help in the fight against phishing by analyzing user behavior and detecting phishing attempts. For example, it can analyze emails to detect phishing signs such as suspicious links or unusual privacy requests. Additionally, AI can analyze user data such as users and IP addresses to detect anomalies in the request.

However, the limitations of AI in the fight against phishing are still present. AI can be fooled by experienced hackers using advanced phishing techniques. To be effective, AI needs to be regularly updated to identify new types of phishing.

Practical examples of using AI to fight phishing are already in place. Companies can use AI-based fraud prevention solutions to protect against phishing attacks and account compromises. Additionally, some companies have started using AI chatbots to educate employees on cybersecurity practices.

In conclusion, while AI is a promising tool in the fight against phishing, it should be used in combination with other cybersecurity methods. Employee training, cybersecurity awareness, and regular updating of AI are essential to protect businesses and clients against phishing attacks.

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